Hang Ten’s $85M Seed Bet Takes Aim at IT Consulting

Vishal Sikka spent years running one of the world's largest IT services companies. His new startup is betting AI can dramatically shrink the teams those companies built their businesses around.

Hang Ten Systems, founded by the former Infosys CEO only four months ago, has added another $53 million to its seed financing.

That comes just five weeks after an initial $32 million round, bringing the startup's total funding to $85 million.

The new investment was led by Temasek's early-stage platform Xora, with participation from Mayfield and a group of prominent technology investors and executives.

For a startup that only launched in May, the pace is unusual.

So is the thesis.

Hang Ten thinks software building is becoming cheap

Traditional enterprise software projects can involve dozens of engineers, consultants, project managers and months of implementation.

Sikka believes generative AI changes that model.

Hang Ten advises large companies on AI strategy while also building and modernizing production software.

Its focus is typically on enterprises generating more than $10 billion in annual revenue, and it is already working with or pursuing projects across 21 major organizations.

The underlying idea is that AI makes writing software far less labor intensive.

If building code becomes faster, the most valuable human work shifts toward understanding the business problem, defining requirements and validating the result.

Small teams could challenge giant consulting contracts

Hang Ten says some of its projects can be handled by teams of roughly two to four people where a traditional engagement might once have required around 30.

The company claims it aims to deliver as much as a tenfold improvement in cost, speed or a combination of both. Customers or third parties still perform final quality and certification work where required.

If that model holds up, it could be disruptive.

The global IT services industry was built partly on scale.

Large providers could put hundreds or thousands of engineers onto enterprise technology projects.

AI turns that advantage into a possible liability.

If a small, AI-enhanced team can produce similar output, headcount becomes less important.

Enterprise customers appear interested

Hang Ten says it signed a multimillion-dollar mission-critical software contract just 25 days after its first meeting with one customer.

The startup has already secured multiple seven-figure engagements and is pursuing eight-figure opportunities.

Customers and prospects span the U.S., Europe, the Middle East and Asia, with names including Fresenius Kabi, Saudi Aramco and Siemens Energy.

Those early contracts help explain why investors returned so quickly.

For enterprise software startups, landing the first major customer can take months or years.

Hang Ten says some of its deals are moving in weeks.

This isn't another foundation-model startup

Hang Ten isn't trying to compete with OpenAI or Anthropic at the model layer.

Instead, it uses existing AI capabilities to solve the difficult implementation problems inside large organizations.

Its internal framework, Hobie, packages reusable AI skills designed for regulated and complex enterprise environments.

This puts the company in an increasingly interesting middle layer.

Model providers sell intelligence.

Enterprises own the problems.

Hang Ten wants to be the company translating one into the other.

That's traditionally what major consulting and IT services firms have done.

AI could disrupt services faster than software

Much of the AI discussion focuses on replacing software products.

But services may be an equally important target.

Consulting companies often bill for expert time.

IT services companies often price around large delivery teams.

AI directly attacks the economics of both models.

If one experienced engineer using AI can accomplish work that once required several people, customers will eventually ask why they are paying for the old team structure.

Incumbents can adopt AI themselves.

But they also have existing workforces, contracts and revenue models to protect.

Startups don't.

That gives companies like Hang Ten a classic disruption advantage: they can design around the new cost structure from day one.

Sikka knows exactly what he's challenging

The founder's background makes the strategy particularly notable.

Sikka served as CEO of Infosys, one of the companies that helped define large-scale offshore IT services.

He is therefore attacking a business model he knows from the inside.

Hang Ten also isn't his first enterprise AI company. After leaving Infosys, Sikka co-founded VianAI, which raised significant funding before he departed earlier this year.

His new company appears to be making a much more direct bet:

AI won't simply improve enterprise software delivery.

It could fundamentally change how many people are required to deliver it.

What happens next?

The real test will be whether Hang Ten can maintain quality as the projects become larger and more regulated.

Enterprise software fails expensively.

Banks, industrial companies and healthcare providers cannot accept “mostly correct” systems simply because AI built them faster.

That means verification and domain expertise may become more valuable even as raw coding becomes cheaper.

If Hang Ten can solve that balance, the implications extend far beyond one startup.

The question facing the IT services industry may soon become:

What happens to a business built around thousands of engineers when AI lets dozens do the same work?

Hang Ten has raised $85 million to find out.